Application of AHP and Fuzzy theory in the Scientific Research Projects Management
ABSTRACT
Today, the number of scientific research projects in universities is increasing. The content and system will be more and more complex. The technology in projects will be advanced. And the cost will increase too. The project management involves various factors. More and more uncertain factors will increase the project risk of demonstrating and studying. At present, we still lack the valid means in risk identification, evaluation, control and management in universities. Therefore, the risk management study of scientific research projects has great importance and pressure. In this paper, AHP (Analytic Hierarchy Process) and fuzzy theory are applied into the scientific research projects management. We analyzed the risk factors and determined the indexes. Risk grades and the evaluation model are built. A simulation example is given. The results of our study give references to the risk control and decision of scientific research management, which can be used directly in reality. It also has reference value to other kinds of risk management.
Today, the number of scientific research projects in universities is increasing. The content and system will be more and more complex. The technology in projects will be advanced. And the cost will increase too. The project management involves various factors. More and more uncertain factors will increase the project risk of demonstrating and studying. At present, we still lack the valid means in risk identification, evaluation, control and management in universities. Therefore, the risk management study of scientific research projects has great importance and pressure. In this paper, AHP (Analytic Hierarchy Process) and fuzzy theory are applied into the scientific research projects management. We analyzed the risk factors and determined the indexes. Risk grades and the evaluation model are built. A simulation example is given. The results of our study give references to the risk control and decision of scientific research management, which can be used directly in reality. It also has reference value to other kinds of risk management.
Cite this paper
L. Yang, Y. Cao and L. Zhang, "Application of AHP and Fuzzy theory in the Scientific Research Projects Management," iBusiness, Vol. 5 No. 1, 2013, pp. 13-17. doi: 10.4236/ib.2013.51B003.
L. Yang, Y. Cao and L. Zhang, "Application of AHP and Fuzzy theory in the Scientific Research Projects Management," iBusiness, Vol. 5 No. 1, 2013, pp. 13-17. doi: 10.4236/ib.2013.51B003.
References
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[1] G. Eason, B. Noble, and I. N. Sneddon, “On certain inte-grals of Lipschitz-Hankel type involving products of Bessel functions,” Phil. Trans. Roy. Soc. London, vol. A247, pp. 529–551, April 1955. (references) [2] Jian-ming Shen, “Project Risk Management”. Beijing: Press of mechanical industry. (2003) 110-121. (in Chinese) [3] Zadeh L A, “Fuzzy Sets. Information and Control”. No. 8 (1965) 338-353. [4] Bennet P. Lientz, Kathryn. Rea, “Project Management”. For the 21st Century.Third Edition. California: Academic Press. (2002). [5] Blanchard B S, “Logistics Engineering and Management”.5th ed. New York: Prentice Hall. (1998). [6] Blanchard B S, “System engineering management”. John Wiley & Sons. New York. (1997). [7] Neil J. Tuholski, Henrik Gluver. Etc, “Risk Assessment Procedures for Innovative of Navigation”. U.S. Army corps of Engineers. Washington, DC. (2000)12. [8] The PMI Standards Committee, “A Guide to the Project Management Body of Knowledge”. Philadelphia: project Management Institute. (1994).